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Featured researches published by Alan P. Berens.


Archive | 1988

Statistical Evaluation of NDE Reliability in the Aerospace Industry

Peter W. Hovey; Alan P. Berens

The goal of this paper is to review the statistical methods used in the aerospace industries to evaluate NDE reliability. The techniques presented are consistent with the damage tolerant design and structural maintenance philosophies of the aerospace industry. The first part of this paper establishes the evaluation criteria and discusses the history of NDE reliability evaluations. The second part describes the state-of-the-art analysis methods through examples from the retirement for cause (RFC) inspection system evaluation. The last part of the paper discusses some techniques used to rate operator performance and deal with false calls.


Engineering Fracture Mechanics | 1983

Estimating the Statistical Properties of Crack Growth for Small Cracks

P.W. Hovey; J.P. Gallagher; Alan P. Berens

Abstract A series of statistical studies were conducted on two sets of fatigue crack growth data which were generated under variable amplitude loading from cracks that initiated in 7475-T7351 Aluminum down in the bore of typical aircraft quality prepared holes. The study considered fatigue crack growth (life) behavior and fatigue crack growth rate behavior. Generally, the study showed that small crack growth behavior was similar to that observed for larger cracks and that a stress intensity factor parameter could be used to describe the mean trend of the fatigue crack growth rate behavior via a power law relationship.


REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION | 2007

Estimating the Distribution of the Sizes of Flaws Remaining After an Inspection

Peter W. Hovey; Alan P. Berens; Jeremy S. Knopp

Abstract : The U.S. Air Force plans for maintenance and retirement of aircraft based in part on fatigue crack growth models. Periodic inspections are used to help assess airworthiness and plan for future inspections. Nondestructive inspections are not perfect so some cracks are missed and the likelihood that an individual crack is detected is a function of the size of the crack when inspected. Additionally, the crack size distribution is related to the number of flight hours the aircraft has experienced, so not all inspection results come from the same distribution. In a recent study several models were compared that utilize the capability of the inspection system and the variation between aircraft and times of inspections to estimate the distribution of sizes of cracks that were missed during the inspection. This white paper summarizes those results and identifies some methods for extending them.


REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION | 2005

Index Size Determination with Varying Coil Diameters for Improved Automated Eddy Current Inspections on Aerospace Engine Components

Ray T. Ko; Brian Frock; Alan P. Berens; David L. Petricola; David A. Stubbs; Matthew Rambo

The effect of index size and coil size on eddy‐current inspection throughput rate, and resulting Probability of Detection (POD), are being examined using the USAF’s Eddy Current Inspection System (ECIS). Original estimates of potential maximum index sizes were made by applying a sampling and shifting algorithm to the experimental data. Better estimates of the new maximum index sizes were obtained by fitting Gaussian functions to the experimentally determined line‐spread functions.


Archive | 1991

Risk Analysis for Aging Aircraft Fleets. Volume 1: Analysis

Alan P. Berens; Peter W. Hovey; Donald A. Skinn


Archive | 1998

Update of the Probability of Fracture (PROF) Computer Program for Aging Aircraft Risk Analysis. Volume 1: Modifications and User's Guide

Peter W. Hovey; Alan P. Berens; John S. Loomis


Archive | 2006

Estimating the Distribution of the Sizes Of Flaws Remaining After an Inspection (Preprint)

Peter W. Hovey; Alan P. Berens; Jeremy S. Knopp


Archive | 2003

The Pivotal Role and Current Status of Nondestructive Inspection Systems in the Maintenance of Aging Aircraft

Joseph P. Gallagher; Wally C. Hoppe; Alan P. Berens; David A. Stubbs; Charles Buynak


Archive | 2001

PROBABILITY OF DETECTION (POD) ANALYSIS FOR THE ADVANCED RETIREMENT FOR CAUSE (RFC)/ENGINE STRUCTURAL

Alan P. Berens; Wally Hoppe; David A. Stubbs; Ollie Scott


Archive | 2000

Probability of Detection (POD) Analysis for the Advanced Retirement for Cause (RFC)/Engine Structural Integrity Program (ENSIP) Nondestructive Evaluation (NDE) System-Volume 3: Material Correlation Study

Alan P. Berens; Wally Hoppe; David A. Stubbs; Ollie Scott

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David A. Stubbs

University of Dayton Research Institute

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Brian Frock

University of Dayton Research Institute

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Jeremy S. Knopp

Air Force Research Laboratory

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Wally Hoppe

University of Dayton Research Institute

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David L. Petricola

University of Dayton Research Institute

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J.P. Gallagher

University of Dayton Research Institute

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P.W. Hovey

University of Dayton Research Institute

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